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  <titleInfo>
    <title>Design of an integrated software environment for intelligent simulation systems</title>
  </titleInfo>
  <name type="personal">
    <namePart>Nafade, Nikhil</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Nagarur, Nagendra N.</namePart>
    <role>
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    </role>
  </name>
  <name type="personal">
    <namePart>Batanov, Dentcho N.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
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  <name type="personal">
    <namePart>Bohez, Erik L.J.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Kuehn, -Ing. Wolfgang</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>The Government of Norway</namePart>
    <role>
      <roleTerm type="text">Scholarship Donor</roleTerm>
    </role>
  </name>
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  <originInfo>
    <place>
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    <place>
      <placeTerm type="text">Bangkok</placeTerm>
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    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1993</dateIssued>
    <issuance>monographic</issuance>
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    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>72 leaves</extent>
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  <abstract>In the increasingly complex world of manufacturing, simulation has been accepted as a  very power tool for the planning, design, and control of complex manufacturing systems.  However, one area that has not been adequately covered is the interpretation of simulation results,  which often can only be done by experts. An expe1t system can be employed to analyze the  simulation output, and suggest recommendations, to make simulation as a modeling tool  accessible to the non-expert users.  In this study, an effort is made to achieve this integration of simulation with expert  systems. Information needs at all the three levels of decision hierarchy are identified. Various  desirable attributes of simulation modeling are identified and tools to achieve these attributes are  presented.  A prototype of Integrated Intelligent Simulation System is developed with the main  objective of overcoming certain limitations of simulation modeling. The Integrated Intelligent  Simulation System, so developed incorporates three basic modules viz. a manufacturing database,  a simulator, and an intelligent back end. Manufacturing database facilitate ease in storage and  retrieval of data which certainly enhances the value of simulation by reducing model development  and execution time. Intelligent back end serves to analyze the simulation output and guides the  user towards goals of simulation. </abstract>
  <note>A thesis submitted in partial fulfillment of the requirement for the degree of Master of  Engineering, School of Engineering and Technology</note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology, 1993</note>
  <subject authority="lcsh">
    <topic>Production management</topic>
    <topic>Simulation methods</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. IE-93-05</title>
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      <namePart>Asian Institute of Technology.</namePart>
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